Comparative Assessment of Hierarchical Clustering Methods for Grouping in Singular Spectrum Analysis

Hassani, Hossein; Kalantari, Mahdi; Beneki, Christina

doi:10.3390/appliedmath1010003

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Повышение чувствительности анализа диагностической информации в работах Reza Golafshan, Al Bugharbee Hussein, Trendafilova Irina [6,8] предлагается осуществить на основе использования метода главных компонент. Метод главных компонент позволяет за счет выделения наиболее существенной информации уменьшать размерность данных, осуществлять сжатие объемов информации с минимальным искажением структуры исходных данных.…”

Section: существующие методы анализа диагностических сигналовunclassified

“…Теоретическим анализом процессов взаимодействия элементов электромеханического оборудования идентифицированы фазово-динамические характеристики диагностических сигналов [8]. Настоящее исследование направлено на параметризацию нелинейных и хаотических генераций в диагностических сигналах ЭПА путем использования фазово-плоскостного метода (ФПМ).…”

Section: существующие методы анализа диагностических сигналовunclassified

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Improvement of methods for analyzing the technical condition of electromechanical equipment of nuclear power plants

Abidova

2023

GNS

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The article analyzes the problem of diagnostics of NPP electric drive valves. Failure of this type of equipment can become the initial event for design or beyond design accident. Therefore, during the period of preventive maintenance at NPPs diagnostics of up to 2000 units of valves is carried out mainly by registration and analysis of the motor current signal during opening and closing. However, the applied statistical and frequency analysis methods do not always provide the necessary quality of diagnostics. The article points out the disadvantage of the applied methods – insensitivity to the dynamics of electromechanical equipment in terms of nonlinear manifestations of defects. As a tool for analyzing these manifestations the phase-plane method is proposed and its theoretical basis is outlined. The diagnostic signal is described as a vector diagram of a harmonic series subjected to amplitude and phase modulation. The most characteristic forms of phase trajectories - cardioids, nephroids, epicycloids – are shown. The main advantages of the phase-plane method over traditional frequency methods – sensitivity, possibility to identify the type of modulation, phase shift, dynamic and chaotic manifestations – are demonstrated by examples of processing diagnostic signals of NPP equipment. An important advantage of signal representation in the form of phase portrait is the visualization of dynamic features of the signal. The result of the work is a new method that allows to extract additional information about the object state by analyzing the non-stationary component of the initial data. It is proposed to introduce the phase-plane method into the practice of processing diagnostic signals of electric drive valves and other electromechanical equipment operated at NPPs.

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Section: существующие методы анализа диагностических сигналовunclassified

Improvement of methods for analyzing the technical condition of electromechanical equipment of nuclear power plants

Abidova

2023

GNS

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Application of multivariate methods and hydrochemical model to evaluate industrial mine water discharges from the phosphate beneficiation process, Eshidiya mine, southeast Jordan

et al. 2022

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Singular Spectrum Analysis of Tremorograms for Human Neuromotor Reaction Estimation

2022

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Singular spectrum analysis (SSA) is a method of time series analysis and is used in various fields, including medicine. A tremorogram is a biological signal that allows evaluation of a person’s neuromotor reactions in order to infer the state of the motor parts of the central nervous system (CNS). A tremorogram has a complex structure, and its analysis requires the use of advanced methods of signal processing and intelligent analysis. The paper’s novelty lies in the application of the SSA method to extract diagnostically significant features from tremorograms with subsequent evaluation of the state of the motor parts of the CNS. The article presents the application of a method of singular spectrum decomposition, comparison of known variants of classification, and grouping of principal components for determining the components of the tremorogram corresponding to the trend, periodic components, and noise. After analyzing the results of the SSA of tremorograms, we proposed a new algorithm of grouping based on the analysis of singular values of the trajectory matrix. An example of applying the SSA method to the analysis of tremorograms is shown. Comparison of known clustering methods and the proposed algorithm showed that there is a reasonable correspondence between the proposed algorithm and the traditional methods of classification and pairing in the set of periodic components.

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Comparative Assessment of Hierarchical Clustering Methods for Grouping in Singular Spectrum Analysis

Cited by 3 publications

References 29 publications

Improvement of methods for analyzing the technical condition of electromechanical equipment of nuclear power plants

Improvement of methods for analyzing the technical condition of electromechanical equipment of nuclear power plants

Application of multivariate methods and hydrochemical model to evaluate industrial mine water discharges from the phosphate beneficiation process, Eshidiya mine, southeast Jordan

Singular Spectrum Analysis of Tremorograms for Human Neuromotor Reaction Estimation

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